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Senior Remote Ai Prompt Engineer Jobs (NOW HIRING)

Experience working in remote or distributed teams is a plus. Benefits Competitive salary based on ... senior AI / systems roles Exposure to LLMs, prompt engineering, and scalable AI system design ...

Think of this role as a blend of SEO analyst , AI prompt engineer , and strategic customer advisor . What You'll Be Doing: * Account Setup & Optimization - Configure and optimize customer accounts to ...

Think of this role as a blend of SEO analyst , AI prompt engineer , and strategic customer advisor . What You'll Be Doing: * Account Setup & Optimization - Configure and optimize customer accounts to ...

Senior AI Engineer

$107K - $146K/yr

Our lean structure and remote team mean we can move fast while still delivering top-notch ... Fine-tune, adapt, and evaluate LLMs for domain-specific use cases using prompt engineering ...

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Senior Remote Ai Prompt Engineer information

See salary details

$59.5K

$126.6K

$183.5K

How much do senior remote ai prompt engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for senior remote ai prompt engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Remote Ai Prompt Engineer vs Machine Learning Engineer?

AspectSenior Remote Ai Prompt EngineerMachine Learning Engineer
CredentialsTypically requires expertise in AI, NLP, and prompt engineering; often a background in computer science or AI certificationsRequires a degree in computer science, data science, or related fields; certifications in ML or AI are common
Work EnvironmentRemote, project-based, focused on prompt design and AI interactionRemote or on-site, involves model development, data handling, and algorithm training
Industry UsageUsed in AI product development, chatbots, and NLP applicationsApplied in AI research, predictive modeling, and data-driven solutions

The main difference is that Senior Remote Ai Prompt Engineers focus on designing prompts to optimize AI responses, while Machine Learning Engineers develop and train models. Both roles require AI knowledge but serve different stages of AI development and deployment.

More about Senior Remote Ai Prompt Engineer jobs
What cities are hiring for Senior Remote Ai Prompt Engineer jobs? Cities with the most Senior Remote Ai Prompt Engineer job openings:
What states have the most Senior Remote Ai Prompt Engineer jobs? States with the most job openings for Senior Remote Ai Prompt Engineer jobs include:
What job categories do people searching Senior Remote Ai Prompt Engineer jobs look for? The top searched job categories for Senior Remote Ai Prompt Engineer jobs are:
Infographic showing various Senior Remote Ai Prompt Engineer job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Full-time

Posted 14 days ago


Job description

About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.
Unlike an outsourcing agency, we place you directly with a client where you're hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You'll work closely with product, engineering, and data teams to create intelligent systems that improve automation, customer engagement, and operational efficiency.
This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and production-grade AI systems.
Key Responsibilities
  • Design, develop, and deploy AI and machine learning models for real-world applications.
  • Build and optimize AI-powered tools using technologies such as OpenAI, Claude, Gemini, or open-source LLMs.
  • Develop scalable APIs and backend services for AI applications.
  • Fine-tune machine learning models and improve model performance.
  • Work with structured and unstructured datasets for training and inference.
  • Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
  • Integrate AI solutions into web platforms, CRMs, and business systems.
  • Monitor AI model performance, reliability, and scalability in production.
  • Collaborate with cross-functional teams to define AI product requirements and technical roadmaps.
  • Stay updated on emerging AI technologies, frameworks, and best practices.

Requirements
  • 3+ years of experience in AI engineering, machine learning, or software engineering.
  • Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face.
  • Experience working with LLMs, generative AI tools, and prompt engineering.
  • Familiarity with vector databases, embeddings, and RAG architectures.
  • Knowledge of cloud platforms such as AWS, GCP, or Azure.
  • Experience building REST APIs and scalable backend systems.
  • Understanding of MLOps, model deployment, and monitoring workflows.
  • Strong problem-solving and analytical thinking skills.
  • Excellent communication and collaboration abilities.
  • Experience working in remote or distributed teams is a plus.

Benefits
Competitive salary based on experience and location
Fully remote role with flexible work environment
Work on cutting-edge AI automation projects with real business impact
Strong growth opportunity into senior AI / systems roles
Exposure to LLMs, prompt engineering, and scalable AI system design
Direct collaboration with a fast-moving, high-performance team